|
--- |
|
YAML tags: |
|
annotations_creators: |
|
- expert-generated |
|
language_creators: |
|
- found |
|
languages: |
|
- hu |
|
licenses: |
|
- cc-by-sa-4.0 |
|
multilinguality: |
|
- monolingual |
|
pretty_name: HuCOLA |
|
size_categories: |
|
- unknown |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- conditional-text-generation |
|
task_ids: |
|
- machine-translation |
|
- summarization |
|
- text-simplification |
|
--- |
|
# Dataset Card for HuCOLA |
|
|
|
## Table of Contents |
|
- [Table of Contents](#table-of-contents) |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** |
|
- **Repository:** |
|
[HuCOLA dataset](https://github.com/nytud/HuCOLA) |
|
- **Paper:** |
|
- **Leaderboard:** |
|
- **Point of Contact:** |
|
[lnnoemi](mailto:ligeti-nagy.noemi@nytud.hu) |
|
|
|
### Dataset Summary |
|
|
|
This is the dataset card for the Hungarian Corpus of Linguistic Acceptability (HuCOLA), which is also part of the Hungarian Language Understanding Evaluation Benchmark Kit [HuLU](hulu.nlp.nytud.hu). |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
|
|
|
|
|
|
### Languages |
|
|
|
The BCP-47 code for Hungarian, the only represented language in this dataset, is hu-HU. |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
For each instance, there is aN id, a sentence and a label. |
|
|
|
An example: |
|
|
|
``` |
|
{"Sent_id": "dev_0", |
|
"Sent": "A földek eláradtak.", |
|
"Label": "0"} |
|
``` |
|
|
|
### Data Fields |
|
- Sent_id: unique id of the instances, an integer between 1 and 1000; |
|
- Sent: a Hungarian sentence; |
|
- label: '0' for wrong, '1' for good sentences. |
|
|
|
### Data Splits |
|
|
|
HuCOLA has 3 splits: *train*, *validation* and *test*. |
|
|
|
| Dataset split | Number of sentences in the split | Proportion of the split |
|
|---------------|----------------------------------| ---------| |
|
| train | 7276 | 80%| |
|
| validation | 900 |10%| |
|
| test | 900 |10%| |
|
|
|
The test data is distributed without the labels. To evaluate your model, please [contact us](mailto:ligeti-nagy.noemi@nytud.hu), or check [HuLU's website](hulu.nlp.nytud.hu) for an automatic evaluation (this feature is under construction at the moment). The evaluation metric is Matthew's correlation coefficient. |
|
|
|
## Dataset Creation |
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
The data was collected by two human annotators from 3 main linguistic books on Hungarian language: |
|
|
|
- Kiefer Ferenc (ed.) (1992), Strukturális magyar nyelvtan 1. Mondattan. Budapest, Akadémiai Kiadó. |
|
- Alberti, Gábor and Laczkó, Tibor (eds) (2018), Syntax of Hungarian Nouns and Noun Phrases. I., II. Comprehensive grammar resources. Amsterdam University Press, Amsterdam. |
|
- Katalin É. Kiss and Veronika Hegedűs (eds) (2021), Postpositions and Postpositional Phrases. Amsterdam: Amsterdam University Press. |
|
|
|
The process of collecting sentences partly followed the one described in Warstadt et. al (2018). The guideline of our process is available in the repository of [HuCOLA](https://github.com/nytud/HuCOLA). |
|
|
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
Each instance was annotated by 4 human annotators for its acceptability (see the annotation guidelines in the repository of [HuCOLA](https://github.com/nytud/HuCOLA)). |
|
|
|
#### Who are the annotators? |
|
|
|
The annotators were native Hungarian speakers (of various ages, from 20 to 67) without any linguistic backround. |
|
|
|
## Additional Information |
|
|
|
### Licensing Information |
|
|
|
HuCOLA is released under the CC-BY-SA 4.0 licence. |
|
|
|
### Citation Information |
|
|
|
If you use this resource or any part of its documentation, please refer to: |
|
|
|
Ligeti-Nagy, N., Ferenczi, G., Héja, E., Jelencsik-Mátyus, K., Laki, L. J., Vadász, N., Yang, Z. Gy. and Váradi, T. (2022) HuLU: magyar nyelvű benchmark adatbázis |
|
kiépítése a neurális nyelvmodellek kiértékelése céljából [HuLU: Hungarian benchmark dataset to evaluate neural language models]. XVIII. Magyar Számítógépes Nyelvészeti Konferencia. (in press) |
|
``` |
|
@inproceedings{ligetinagy2022hulu, |
|
title={HuLU: magyar nyelvű benchmark adatbázis kiépítése a neurális nyelvmodellek kiértékelése céljából}, |
|
author={Ligeti-Nagy, N. and Ferenczi, G. and Héja, E. and Jelencsik-Mátyus, K. and Laki, L. J. and Vadász, N. and Yang, Z. Gy. and Váradi, T.}, |
|
booktitle={XVIII. Magyar Számítógépes Nyelvészeti Konferencia}, |
|
year={2022} |
|
} |
|
``` |
|
|
|
|
|
### Contributions |
|
|
|
Thanks to [lnnoemi](https://github.com/lnnoemi) for adding this dataset. |
